marketing data engineer

RP Group

<div>About the role:
In this pivotal role, you will act as a bridge between business and IT, translating business needs into effective BI solutions using a variety of analysis and reporting tools. You will work closely with key stakeholders to understand and leverage Landal&rsquo;s datasets, establish standards and templates, and promote best practices across the organization. 
 
Develop and maintain high-quality analytics data models, BI reports, and semantic layers that power data-driven decisions across Finance, Commerce, and Operations. The Analytics Engineer works hands-on in Databricks, DBT, and Power BI to translate raw data into reliable, well-documented assets contributing to our Customer 360 initiative, marketing attribution models, and cost-to-LTV analytics under the guidance of the Lead Analytics Engineer.
What will you do:
As a Analytics Engineer at Landal, you will play a key role in bridging the gap between business and IT, helping our organization make data-informed decisions at both strategic and tactical levels.
In this role, you will:<div><ul><li>
Build and maintain DBT data models in Databricks, ensuring data quality, performance, and documentation standards are met.</li></ul></div><div><ul><li>
Help integrating customer touchpoints across marketing, commerce, and operations.</li></ul></div><div><ul><li>
Support the development and maintenance of multi-touch attribution (MTA) models and assist in laying the groundwork for MMM.</li></ul></div><div><ul><li>
Develop and maintain Power BI dashboards, semantic models, and metric definitions that serve business stakeholders.</li></ul></div><div><ul><li>
Write and optimise SQL transformations and work with Data Engineers on ingestion pipelines across Azure and GCP.</li></ul></div><div><ul><li>
Follow version control, CI/CD, and documentation standards using Azure DevOps and Git.</li></ul></div><div><ul><li>
Work closely with the Lead Analytics Engineer and business stakeholders to translate requirements into analytics solutions.</li></ul></div><div><ul><li>
Proactively monitor data accuracy and flag integrity issues in analytical models.</li></ul></div>
This position offers a dynamic mix of hands-on development and advisory responsibilities, allowing you to have a real impact on the organization&rsquo;s data-driven decision-making.
Your work location is our new office on Wibautstraat in Amsterdam. Of course, working from home is possible, but it is desirable that you work from the office at least 3 days a week.
For this position, we can only consider applicants who are already residing in the Netherlands and hold a valid work permit.
This is you:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field such as Computer Science, Business Information Management, Engineering, or a related discipline;</li><li>A minimum of 2 years of relevant experience as a Data Analyst or Analytics Engineer;</li><li>Ideally you have some understanding of AI applied analytics, such as Databricks Genie;</li><li>Proven experience in querying, analyzing, and managing large datasets;
</li><li>Advanced proficiency in BI and analytics tools such as Power BI, DBT, Databricks, Power Apps, or similar;
</li><li>Strong experience in dashboard development and data visualization, with understanding of data relationships;
</li><li>SQL proficiency and experience with Data Modeling (Kimball) and Semantic Models;
</li><li>Hands-on experience creating comprehensive business reports and interactive dashboards; Ability to translate complex business requirements into technical BI solutions;
</li><li>Analytical skills for interpreting critical and complex data sets.</li></ul>
Come work with us, as this is what we offer!<div><div><div><div>
Together, we go all out to offer the best to our guests and colleagues. If you join us, your efforts will be rewarded with:<ul><li>
An annual contract with a trial period of one month, whereby we would of course ultimately be happy to employ you permanently.</li><li>
A salary between &euro;3.600,- and &euro;5.100,- gross per month on a full-time basis*.</li><li>
A bonus scheme.</li><li>
27 days' holiday for a full-time working week* with the option to purchase 10 additional days off.</li><li>
Flexible working hours and the possibility of (partly) working from home.</li><li>
Working from home allowance of &euro;2,40 per home working day.</li><li>
A travel allowance in accordance with the Landal travel allowance scheme based on &euro;0,23 cents per km. If you decide to travel by public transport, your travel costs will be 100% reimbursed.</li><li>
Training and education options.</li><li>
Participation in the Recreation pension fund. The standard retirement date in this scheme is 67 years. The premium for this old-age pension is 21.8% of the pension basis, with Landal and you each paying half.</li><li>
Possibility of paid additional maternity and parental leave.</li><li>
Various group insurance policies, including free continuous travel insurance for you and your family.</li><li>
A favorable staff booking scheme.</li></ul><ul><li>A full-time employment contract at Landal has a 38-hour working week, which is equivalent to a 5-day working week. If you have a part-time employment contract, your salary and vacation days are calculated pro rata.</li></ul></div></div></div></div></div><div></div>

Data Analyst

AutoIQ - An Imperial Quest, LLC. Company

The AutoIQ Mission: Data-Driven, People-PoweredAutoIQ isn't just another marketing agency. We are a leading automotive service marketing technology company. We leverage proprietary data solutions to give dealerships an unfair advantage in the service drive.But here's the best part: while our technology is sophisticated, our culture is grounded. We believe in working hard, winning big, and actually having fun while we do it. We're a team of automotive enthusiasts, software builders, and problem solvers who love creating products that make a measurable impact for our dealer partners.The Role: Build, Scale, and InnovateWe're looking for a Full Stack Software Engineer who enjoys building products from the ground up and improving them every day. This role is ideal for someone who is equally comfortable designing APIs, optimizing databases, and creating intuitive user experiences.You'll own work across both our customer-facing applications and the services that power them. From developing modern dashboards and marketing landing pages to building scalable backend services and cloud infrastructure, you'll play a key role in shaping the future of AutoIQ's technology platform.What You'll Do<ul><li>Build the Platform: Design and develop secure, scalable backend services using Node.js, Python, and FastAPI while creating clean, responsive user interfaces with React and Next.js.</li><li>Create Great Experiences: Build intuitive dashboards, marketing experiences, and customer-facing applications that are fast, accessible, and easy to use.</li><li>Develop Reliable Integrations: Design REST APIs, background jobs, and data integrations that securely connect our products with internal and third-party systems.</li><li>Optimize for Scale: Improve application performance through efficient database design, caching, background processing, monitoring, and cloud infrastructure best practices.</li><li>Own the Delivery Pipeline: Deploy confidently using Docker, GitHub or Bitbucket Actions, AWS, and modern CI/CD practices while maintaining high standards for testing, reliability, and observability.</li><li>Collaborate Across Teams: Partner with Product, Marketing, and Design to turn ideas into production-ready solutions that deliver measurable business results.</li><li>Enjoy the Ride: Help shape the future of our technology platform while working alongside a collaborative team that values innovation, ownership, and continuous improvement.</li></ul>Who You Are<ul><li>A Full Stack Builder: You have experience developing production applications using React, Next.js, JavaScript/TypeScript, Node.js, and Python.</li><li>An API &amp; Data Expert: You're comfortable designing REST APIs, modeling relational databases, writing efficient SQL, and integrating systems through secure, well-designed interfaces.</li><li>A Cloud-Minded Engineer: You understand modern deployment practices, containerization, AWS infrastructure, monitoring, and building reliable systems that scale.</li><li>A Quality-First Developer: You write clean, maintainable code, value automated testing, participate in thoughtful code reviews, and take pride in delivering polished software.</li><li>A Collaborative Problem Solver: You communicate clearly, ask thoughtful questions, and enjoy partnering with teammates across engineering, product, marketing, and design.</li><li>Always Learning: Whether it's a new framework, cloud technology, or architecture pattern, you're excited to continuously improve your craft.</li></ul>Technologies You'll Work With<ul><li>Languages: JavaScript, TypeScript, Python, Node.js</li><li>Frameworks: React, Next.js, FastAPI, Express</li><li>Databases: PostgreSQL, MySQL</li><li>Cloud &amp; Infrastructure: AWS (ECS, EC2, ECR, ALB), Docker, CodeDeploy, CodePipeline</li><li>Development Tools: GitHub Actions, Bitbucket Actions, Git</li><li>Monitoring &amp; Analytics: AWS Monitoring, GA4</li><li>Testing: pytest and modern testing frameworks</li><li>Additional Technologies: Pydantic, Alembic, Pandas, Sequelize, Tailwind CSS, CSS Modules, Material UI, Redux, Zustand, APScheduler</li></ul>What We OfferAt AutoIQ, we believe exceptional software is built by exceptional people. We invest in our team by providing the tools, support, and environment needed to do your best work while enjoying the journey.<ul><li>$50-55k salary based on experience.</li><li>100% Company-Paid Benefits: We cover 100% of your Medical, Dental, and Vision insurance premiums.</li><li>Investing in Your Future: A generous 401(k) matching program to help you build long-term wealth.</li><li>Work-Life Balance: Paid Time Off (PTO) because great ideas come from well-rested people.</li><li>The &quot;Phoenix Pulse&quot;: This is a full-time, in-office position based at our Phoenix, AZ headquarters. You'll collaborate daily with a high-performing team where ideas move quickly, innovation is encouraged, and successes are celebrated together.</li></ul>Pay: From $50,000.00 per yearBenefits:<ul><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Do you understand that this is NOT a remote position?</li></ul>Language:<ul><li>English (Required)</li></ul>Location:<ul><li>Phoenix, AZ 85027 (Required)</li></ul>Work Location: In person

Full Stack Web Developer (Junior–Mid)

Careerscape

<div>
 
 
 About the Role
 
 
 
 We are supporting our client on a search for a Junior Data Analyst in Atlanta on a hybrid schedule (3 days in-office). This is the seat where you learn to turn raw data into decisions. You will write SQL every day, build and own dashboards, and get exposure to product, marketing, and finance questions from the jump.
 
 
 
 
 
 
 Compensation
 
 
 
 $60,000 &ndash; $75,000 per year, depending on experience.
 
 
 
 
 
 
 What You Will Do
 
 
 
 - Write SQL to pull, clean, and QA data across product, marketing, and finance sources
 
 
 - Build and maintain dashboards in Looker, Tableau, Mode, or Metabase
 
 
 - Turn recurring stakeholder questions into repeatable, self-serve views
 
 
 - Investigate anomalies in KPIs and share findings with clear commentary
 
 
 - Partner with senior analysts on A/B test analysis and cohort work
 
 
 - Document data definitions so the org trusts what it sees
 
 
 
 
 
 
 What You Bring
 
 
 
 - 0-2 years of analytics, business intelligence, or heavy-Excel experience
 
 
 - Working SQL (joins, aggregations, window functions - you can pass a screen)
 
 
 - Comfort with a BI tool (Looker, Tableau, Mode, Sigma, Metabase, Power BI)
 
 
 - Strong written communication - can turn a query result into a two-sentence takeaway
 
 
 - Bachelors in stats, econ, math, CS, or equivalent hands-on experience
 
 
 - Bonus: Python/pandas, dbt exposure
 
 
 
 
 
 
 Benefits
 
 
 
 - Hybrid in Atlanta - 3 days in-office
 
 
 - Medical, dental, vision
 
 
 - 401(k) with match
 
 
 - Unlimited PTO
 
 
 - Learning stipend for SQL/analytics courses
 
 
 - Clear path into senior analyst or analytics engineer
 
</div>

Junior Data Analyst

HUK-COBURG

<div>
 
 Im Data Analytics Team der HUK-COBURG transformieren wir Daten in echte Mehrwerte f&uuml;r &uuml;ber 13 Mio. Kund:innen. Als Deutschlands f&uuml;hrende Kfz-Versicherung sind wir ein traditionsreiches und stabiles Unternehmen, welches zielgerichtet in Innovation und seine datengetriebene Zukunft investiert. Unsere agilen Data Analytics Teams setzen modernste Machine Learning und KI-Methoden ein, um Prozesse zu optimieren, faire Preise zu berechnen, Sch&auml;den digital und intelligent zu steuern und um neue, innovative Versicherungsprodukte zu entwickeln.
 
 
 
 
 
 Werde Teil unserer gro&szlig;en Data-Community, entwickle gemeinsam mit vielen weiteren, erfahrenen Datenspezialist:innen praxisnahe Machine Learning-Anwendungen und gestalte so den durch Daten, Machine Learning und KI getriebenen Wandel bei einem der gr&ouml;&szlig;ten Versicherer Deutschlands mit.
 
 
 
 
 
 
 Darauf kannst du dich freuen:
 
 
 
 
 
 <ul>
 <li>
 Entwicklung, Implementierung und kontinuierliche Optimierung datengetriebener Modelle zur Analyse von Kundenverhalten, Kundenpr&auml;ferenzen und Kundenaffinit&auml;ten entlang der Customer Journey
 </li>
 <li>
 Konzeption und Einsatz von Machine Learning-, Prognose-, Klassifikations- und Personalisierungsmodellen zur Optimierung von Marketing- und Vertriebsprozessen
 </li>
 <li>
 Anwendung moderner statistischer Verfahren, Causal Inference Methoden und Treatment Effekt Modelle zur Verbesserung von Targeting-, Kampagnen- und Vertriebsma&szlig;nahmen
 </li>
 <li>
 Analyse und Verkn&uuml;pfung gro&szlig;er Datenmengen aus unterschiedlichen Quellen wie CRM-, Web Analytics-, Marketing- und Marktdaten zur Generierung umsetzbarer Business Insights
 </li>
 <li>
 Entwicklung, Testing und Validierung datenbasierter Hypothesen sowie Ableitung skalierbarer Handlungsempfehlungen f&uuml;r Marketing und Vertrieb
 </li>
 <li>
 Beratung von Fachbereichen und Management durch aussagekr&auml;ftige Analysen, Dashboards, Reports und Visualisierungen
 </li>
 <li>
 Teamarbeit in einem motivierten, interdisziplin&auml;ren und agilen Team
 </li>
 </ul>
 
 
 
 
 
 Dein Profil:
 
 
 
 
 
 <ul>
 <li>
 Abgeschlossenes Studium (mindestens Master, idealerweise Promotion) in Data Science, Machine Learning, Mathematik, Physik, VWL, Informatik oder einem verwandten Fachgebiet
 </li>
 <li>
 Mehrj&auml;hrige Berufserfahrung als Data Scientist (w/m/d), Machine Learning Engineer (w/m/d) oder im Bereich Advanced Analytics, idealerweise mit Fokus auf Marketing, Customer Analytics oder datengetriebene Gesch&auml;ftsmodelle
 </li>
 <li>
 Fundierte Kenntnisse in Machine Learning, statistischer Modellierung, Predictive Analytics und der Entwicklung produktiver Data Science-L&ouml;sungen
 </li>
 <li>
 Starke Programmierkenntnisse in Python und fundierte, theoretische und praktische Kenntnisse in modernen Machine Learning-Techniken und -Tools
 </li>
 <li>
 Idealerweise Erfahrung mit Causal Inference, Uplift-Modelling, Recommender Systems oder Personalisierungsl&ouml;sungen
 </li>
 <li>
 L&ouml;sungsorientierte, experimentierfreudige Hands-on-Arbeitsweise mit hoher Eigenverantwortung und Bereitschaft, Ownership f&uuml;r Projekte und Ergebnisse zu &uuml;bernehmen
 </li>
 <li>
 Hybrides Arbeitsmodell: Bereitschaft zur Pr&auml;senz in Coburg
 </li>
 <li>
 Gute Deutschkenntnisse (C1-Niveau)
 </li>
 </ul>
 
 
 
 
 
 Unsere Benefits:
 
 
 
 
 
 <ul>
 <li>
 
 Arbeitgeberzusch&uuml;sse:
 
 Dein Plus zum Gehalt &ndash; 13,3 Monatsgeh&auml;lter, leistungsorientierte Verg&uuml;tung, Mobilit&auml;tszusch&uuml;sse, verm&ouml;genswirksame Leistungen
 </li>
 <li>
 
 Weiterentwicklung:
 
 Erreiche deine Ziele &ndash; Qualifizierungsma&szlig;nahmen, Zusch&uuml;sse zu Selbstbildungsma&szlig;nahmen, eigenes Schulungszentrum
 </li>
 <li>
 
 Flexibilit&auml;t:
 
 Gute Arbeit und ein gutes Leben gehen Hand in Hand - M&ouml;glichkeit bis zur H&auml;lfte der monatlichen Arbeitszeit von Zuhause oder unterwegs zu arbeiten
 </li>
 <li>
 
 Work-Life-Balance:
 
 Arbeite dann, wann es f&uuml;r dich am besten ist &ndash; flexible Arbeitszeitmodelle in Gleitzeit, 31,5 Tage Urlaubstage, Weihnachten und Silvester frei
 </li>
 <li>
 
 Beruf &amp; Familie:
 
 Damit du dich bei uns wohlf&uuml;hlst, schaffen wir die passenden Rahmenbedingungen - Unterst&uuml;tzung bei Kinder- und Ferienbetreuung sowie Angeh&ouml;rigenpflege und Teilzeit- F&uuml;hrungspositionen
 </li>
 <li>
 
 Gesundheit &amp; Wohlbefinden:
 
 Geht&acute;s dir gut, geht`s uns gut &ndash; Angebote zu Bewegung, Ern&auml;hrung und mentaler Gesundheit, Bezuschussung Mitgliedschaft in Fitnessstudios und von Pr&auml;ventionskursen
 </li>
 <li>
 
 Altersvorsorge:
 
 Heute schon an morgen denken &ndash; betriebliche Altersvorsorge
 </li>
 <li>
 
 Mitarbeitendenberatung:
 
 Manchmal ist es einfach gut, jemanden von au&szlig;en mitdenken zu lassen - Mitarbeitendenberatung zur Unterst&uuml;tzung in s&auml;mtlichen Lebensphasen
 </li>
 <li>
 
 Dienstfahrrad:
 
 Radeln statt rollen - Bezuschussung deines Dienstfahrrads
 </li>
 </ul>
 
 
 
 
 
 Wir freuen uns auf Deine Bewerbung!
 
 
 
 
 
 
 Mehr Informationen zu unserem Data Analytics Programm findest Du hier: https://www.huk.de/karriere/einstieg/jobwelten/mathe-data/data-analytics.html
 
 
 
 
 
 Informationen zur Verarbeitung von Bewerber:innen-Daten:
 
 
 https://static.c.huk.de/content/dam/hukde/dokumente/datenschutz/informationen-verarbeitung-bewerberdaten-hc.pdf
 
</div>

Data Scientist Customer Analytics & Machine Learning (w/m/d)

De Mandemakers Groep

<div>Bouw jij samen met ons aan de toekomst van Saniweb &amp; Sanidirect? Saniweb is de grootste online speler in de sanitairwereld en meermaals winnaar van de welbekende Shopping Awards! Ons e-commerce team bestaat uit 20 gedreven specialisten, vari&euml;rend van marketeers tot product owners. Binnen dit team is er op dit moment &eacute;&eacute;n zeer ervaren e-commerce engineer die de technische kar trekt. Vanwege onze harde groei en ambitieuze roadmap zoeken wij jou om de technische slagkracht te verdubbelen. Het doel? Versnellen. Samen met je directe collega vorm je het technische hart van de afdeling. Jullie zijn perfect op elkaar ingespeeld, verdelen de projecten en zorgen dat we sneller kunnen innoveren en professionaliseren.<h2 class="jobSectionHeader">
Wat ga je doen?</h2>
Jij bent als data engineer de bouwer die processen automatiseert en datastromen optimaliseert. Je hoeft geen diehard Magento-developer te zijn; die code ligt volledig bij ons externe bureau (IO). Jij moet vooral snappen hoe e-commerce systemen conceptueel werken en hoe je data voor je laat werken. Je werkzaamheden zijn verdeeld in twee gebieden.
Jouw dagelijkse focus bestaat uit:<ul><li>
Het ontwerpen en bouwen van slimme scripts en automatiseringen in Google Cloud</li><li>
Het beheren en doorontwikkelen van onze BigQuery omgeving</li><li>
Implementatie van AI-oplossingen om processen te versnellen, zoals het optimaliseren van klantcontact via CM.com HALO</li><li>
Het versnellen van besluitvorming binnen het team door data en tooling toegankelijk te maken (o.a. dashboards)</li></ul>
Verder houdt je je als data engineer bezig met:<ul><li>
Richting onze externe bureaus ben jij de technische opdrachtgever (zoals IO)</li><li>
Het sparren over de Magento-architectuur en het bewaken van de kwaliteit op hoofdlijnen. Je schrijft zelf geen Magento-code, maar snapt de logica erachter</li><li>
Het monitoren van de stabiliteit van de shops en signaleert issues of kansen (bijv. in Cloudflare)</li><li>
Ondersteunen bij de technische inrichting van pricing tools zoals Omnia Retail</li></ul><h2 class="jobSectionHeader">
Wat kun je verwachten?</h2>
Jij krijgt een sleutelrol in een hecht team van 20 collega&rsquo;s waar successen samen worden gevierd. Voor jou als ervaren data engineer een unieke kans; jullie leren van elkaar en tillen samen de afdeling naar een hoger niveau! Jij krijgt veel ruimte voor eigen inbreng; pitch jouw idee&euml;n en ga aan de slag! Als kers op de taart mag je werken met een moderne stack (Google Cloud, AI, BigQuery) bij &eacute;&eacute;n van de grootste sanitairspelers van Nederland. Verder krijg jij:<ul><li>
Een aantrekkelijk salaris tussen &euro; 3.000 - &euro; 5.215 op basis van jouw opleiding en ervaring</li><li>
De mogelijkheid om jouw uren flexibel in te delen, zowel thuis maximaal 2 dagen (met daarbij een ingerichte thuiswerkplek) als op kantoor</li><li>
25 vakantiedagen per jaar en 4 extra wanneer je een jaar niet ziek bent geweest</li><li>
Een laptop en telefoon van de zaak</li><li>
Trainingen op maat, waarbij je zelf meedenkt over jouw eigen ontwikkelmogelijkheden</li></ul><ul><li>
Direct een vast contract</li><li>
Reiskostenvergoeding van &euro; 0,23 vanaf 10 kilometer</li><li>
Een fietslease-regeling: lease voordelig een (elektrische) fiets van de zaak</li><li>
Je werkplek op kantoor heeft een bar, sportschool en kinderopvang</li><li>
&euro; 1000,- bonus als je een nieuwe medewerker aandraagt</li><li>
Een goede pensioenregeling</li><li>
Korting op de leukste uitjes met de Mandemakers Family Club</li><li>
Korting op meubelen, sanitair en keukens van De Mandemakers Groep</li></ul><h2 class="jobSectionHeader">
Heb jij het in huis?</h2>
Je zoekt een plek waar je kunt sparren met een senior vakgenoot, maar waar je ook volledig zelfstandig projecten draait. Jij denkt graag in mogelijkheden, maar maakt wel bewuste technische keuzes. De oplossingen die jij bouwt zijn op lange termijn houdbaar. Verder:<ul><li>
Beheers je de Nederlandse taal</li><li>
In de buurt van Waalwijk woont en vervoer hebt om bij ons te kunnen komen</li><li>
Heb je HBO/WO werk- en denkniveau en minimaal 3 jaar relevante werkervaring</li><li>
Beschik je over ervaring met Google Cloud en BigQuery (SQL), dat is je belangrijkste prestatie</li><li>
Heb je affiniteit met e-commerce software. Specifieke kennis van Magento 2 is een pre, maar geen harde eis. Als je snapt hoe webshops werken en de wil hebt om te leren, kom je er wel</li><li>
Kun je technische concepten uitleggen aan niet-technische collega's</li></ul>
Zullen we kennismaken?
Kun je niet wachten om je vast te bijten in onze processen en projecten? Dan willen wij je graag ontmoeten! Solliciteer direct. Heb je eerst nog vragen? Neem contact op met Manon Vos - van Wijk via +31611454119.
Heb je ervaring als analytics engineer (e-commerce), data &amp; automation engineer, marketing automation specialist, data scientist e-commerce, technisch specialist e-commerce of e-commerce engineer? Solliciteer dan eenvoudig en snel! Bij ons kun je zowel parttime als fulltime aan de slag, kun je jouw uren flexibel indelen en deels thuiswerken.</div>

Data engineer (e-commerce)

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Analytics &amp; Transformation Engineer</h1>
Job Title: Analytics &amp; Transformation Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Analytics &amp; Transformation Engineer with 3&ndash;11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Visualization</h3><ul><li>
Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader">
Data Modeling &amp; Analytics Engineering</h3><ul><li>
Strong experience with SQL and dbt for data transformation and analytics workflows.</li><li>
Experience designing and maintaining semantic models and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader">
Product &amp; Behavioral Analytics</h3><ul><li>
Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader">
Experimentation &amp; Measurement</h3><ul><li>
Experience designing and analyzing A/B testing initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader">
Reporting &amp; Productivity Tools</h3><ul><li>
Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>
3&ndash;11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Business Intelligence: Power BI or Tableau or Looker</li><li>
Analytics Engineering: dbt and SQL</li><li>
Data Modeling: Semantic Models and Metrics Frameworks</li><li>
Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar</li><li>
Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing</li><li>
Reporting &amp; Analysis: Excel and Dashboard Creation</li><li>
Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness</li><li>
Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs</li></ul>
YIaTsfUsPM</div>

Analytics & Transformation Engineer

Arab Center for Engineering Studies

Conduct efficient site investigation and detailed technical analysis of earth material and risk assessment of geological hazards. Ensure geological factors affecting engineering works are identified and provided for. Review plans that conform to specific ordinances dealing with the earth and soil stability.Principal Duties and Responsibilities:&middot; Familiarizing, reading of project specs, and verification of the SoW.&middot; Conduct Site Inspection.&middot; Prepare Project Time Schedule.&middot; Attend project-related meetings &amp; ensure proper coordination with clients.&middot; site work progress coordination.&middot; Prepare Progress Reports.&middot; Logging of Trial Pits Samples.&middot; Prepare Lab. Schedule &amp; Receive Lab. Results.&middot; Check field &amp; Laboratory Test Results.&middot; Prepare Geotechnical Report/Calculations/Designs Parameters, with the supervision of the technical team, etc.&middot; Assisting in the preparations of Invoices&middot; Supervise and carry out field tests such as permeability, vane shear, and pressure meter.&middot; Ensure all samples are in a proper sequence and well-identified.&middot; Make a visual description of encountered soil and rock materials during drilling and prepare Logs.&middot; Take photographs of rock core samples and download the photos in the project folders.&middot; Conduct laboratory testing schedule for the geotechnical investigation samples in coordination with the geotechnical engineer.&middot; Assist geotechnical engineer in the preparation of factual and routine geotechnical reports.&middot; Check the initial draft borehole and trial bit logs after typed by Data Entry and submitted to the reporting engineer for his final modification according to the lab test results.&middot; Ensure proper storage and disposal of geotechnical samples.&middot; Ensure customers&rsquo; requirements are carried out in accordance to contract specifications, and international or approved in-house policies and procedures.&middot; Perform effective field investigations of concerned subdivisions in reference to the structural stability of existing excavations.&middot; Allocate sites to drillers and arrange field geologists for site work.&middot; Instruct drillers on the drilling methodology and tools.&middot; Check and sign the daily drilling reports belonging to his projects on daily basis and write his notes if required.&middot; Follow up on the implementation of the safety regulations and protection measures in the field.&middot; Study composition, structure, and history of the site.&middot; Address all types of drainage, soils, and geological requirements.&middot; Examine rocks, minerals, and fossil remains to identify and determine the sequence of processes affecting the development of the earth.&middot; Assess the integrity of soil, rock, groundwater, and other natural conditions prior to major construction projects.&middot; Carry out special projects, specifically on engineering geology, and prepares corresponding reports.&middot; Prepare and write technical proposals.&middot; Ensure all drilling rigs and instruments are fit for use by implementing a calibration and maintenance program.&middot; Ensure health and safety regulations during drilling and field testing are well implemented.&middot; Perform site inspection during proposal stage to describe site condition, geology, and accessibility.&middot; Keep records and the required training courses such as H2S, HEWT, PTW, Operators certificates ... etc. for all department staff.&middot; Marketing the department in coordination with the Marketing Officer and Department Manager.&middot; Guide any visitor to the core description area and make a good presentation.&middot; Prepare daily drilling work program, and issue work orders to drillers in accordance with project specifications and contractual agreements.&middot; Collect data by utilizing various types of field instrumentation such as inclinometers, piezometers, and settlement monitoring devices.&middot; Prepare laboratory testing program for geotechnical investigation.&middot; Prepare geotechnical reports with the supervision of the technical manager in conformance with related standard test methods and customer requirements.&middot; Organize records and files for plans and ongoing projects, including incoming &amp; outgoing correspondences, project specifications, and drawings, lab test forms, and all related ISO forms.&middot; Follow up on the implementation of field and laboratory plans and programs.&middot; Design and analyze various shallow and deep foundation systems for structures, including conducting calculations with the supervision of the technical manager.&middot; Any duties or responsibilities assigned by the management.Interested applicant may apply also through this link below.https://menaitech.aces-int.net/Menaitech/OnlineApp/ShareOnlineApplication/ACES/DXB/1/100041Work Location: In person

Geologist

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